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Accurate genome-wide phasing from IBD data
As genotype databases increase in size, so too do the number of detectable segments of identity by descent (IBD): segments of the genome where two individuals share an identical copy of one of their two parental haplotypes, due to shared ancestry. We show that given a large enough genotype database,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686111/ https://www.ncbi.nlm.nih.gov/pubmed/36424541 http://dx.doi.org/10.1186/s12859-022-05066-2 |
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author | Noto, Keith Ruiz, Luong |
author_facet | Noto, Keith Ruiz, Luong |
author_sort | Noto, Keith |
collection | PubMed |
description | As genotype databases increase in size, so too do the number of detectable segments of identity by descent (IBD): segments of the genome where two individuals share an identical copy of one of their two parental haplotypes, due to shared ancestry. We show that given a large enough genotype database, these segments of IBD collectively overlap entire chromosomes, including instances of IBD that span multiple chromosomes, and can be used to accurately separate the alleles inherited from each parent across the entire genome. The resulting phase is not an improvement over state-of-the-art local phasing methods, but provides accurate long-range phasing that indicates which of two haplotypes in different regions of the genome, including different chromosomes, was inherited from the same parent. We are able to separate the DNA inherited from each parent completely, across the entire genome, with 98% median accuracy in a test set of 30,000 individuals. We estimate the IBD data requirements for accurate genome-wide phasing, and we propose a method for estimating confidence in the resulting phase. We show that our methods do not require the genotypes of close family, and that they are robust to genotype errors and missing data. In fact, our method can impute missing data accurately and correct genotype errors. |
format | Online Article Text |
id | pubmed-9686111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96861112022-11-25 Accurate genome-wide phasing from IBD data Noto, Keith Ruiz, Luong BMC Bioinformatics Research As genotype databases increase in size, so too do the number of detectable segments of identity by descent (IBD): segments of the genome where two individuals share an identical copy of one of their two parental haplotypes, due to shared ancestry. We show that given a large enough genotype database, these segments of IBD collectively overlap entire chromosomes, including instances of IBD that span multiple chromosomes, and can be used to accurately separate the alleles inherited from each parent across the entire genome. The resulting phase is not an improvement over state-of-the-art local phasing methods, but provides accurate long-range phasing that indicates which of two haplotypes in different regions of the genome, including different chromosomes, was inherited from the same parent. We are able to separate the DNA inherited from each parent completely, across the entire genome, with 98% median accuracy in a test set of 30,000 individuals. We estimate the IBD data requirements for accurate genome-wide phasing, and we propose a method for estimating confidence in the resulting phase. We show that our methods do not require the genotypes of close family, and that they are robust to genotype errors and missing data. In fact, our method can impute missing data accurately and correct genotype errors. BioMed Central 2022-11-23 /pmc/articles/PMC9686111/ /pubmed/36424541 http://dx.doi.org/10.1186/s12859-022-05066-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Noto, Keith Ruiz, Luong Accurate genome-wide phasing from IBD data |
title | Accurate genome-wide phasing from IBD data |
title_full | Accurate genome-wide phasing from IBD data |
title_fullStr | Accurate genome-wide phasing from IBD data |
title_full_unstemmed | Accurate genome-wide phasing from IBD data |
title_short | Accurate genome-wide phasing from IBD data |
title_sort | accurate genome-wide phasing from ibd data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686111/ https://www.ncbi.nlm.nih.gov/pubmed/36424541 http://dx.doi.org/10.1186/s12859-022-05066-2 |
work_keys_str_mv | AT notokeith accurategenomewidephasingfromibddata AT ruizluong accurategenomewidephasingfromibddata |